Real-time distributed tracking

被引：0

作者：

Wolf, Wayne ^{[1
]}

Velipasalar, Senem ^{[2
]}

Schlessman, Jason ^{[1
]}

Chen, Cheng-Yao ^{[1
]}

Lin, Chang-Hong ^{[1
]}

机构：

[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

[2] Univ Nebraska, Dept Elect Engn, Lincoln, NE 68583 USA

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PTS 1-3 | 2007年

基金：

美国国家科学基金会;

关键词：

distributed computing; tracking;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Distributed smart cameras use distributed computing architectures to analyze imagery from physically distributed cameras. Performing real-time distributed analysis of video introduces substantial new challenges, but also provides substantial benefits over server-based approaches. This work describes some of the algorithms and architectures we have developed for tracking using distributed smart camera systems, including fault-tolerance, synchronization, and multi-band fusion.

引用

页码：1389 / +

页数：2

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